SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 4801–4850 of 10817 papers

TitleStatusHype
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models—0
INAOE\_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity—0
CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
CP-Router: An Uncertainty-Aware Router Between LLM and LRM—0
mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks—0
BioRAG: A RAG-LLM Framework for Biological Question Reasoning—0
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Improving Zero-Shot Event Extraction via Sentence Simplification—0
CPopQA: Ranking Cultural Concept Popularity by LLMs—0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
Improving Word Representations via Global Context and Multiple Word Prototypes—0
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT—0
In-Context Ability Transfer for Question Decomposition in Complex QA—0
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models—0
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology—0
In-Context Learning with Topological Information for Knowledge Graph Completion—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
Improving VQA and its Explanations \\ by Comparing Competing Explanations—0
Incorporating External Knowledge into Machine Reading for Generative Question Answering—0
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks—0
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering—0
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Improving Visual Question Answering by Referring to Generated Paragraph Captions—0
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence—0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Incremental Knowledge Based Question Answering—0
Incremental Reading for Question Answering—0
Incremental Tree Substitution Grammar for Parsing and Sentence Prediction—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
Improving Twitter Named Entity Recognition using Word Representations—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified